CN106437691A - Low gas-oil-ratio oil reservoir gas logging evaluation method - Google Patents

Low gas-oil-ratio oil reservoir gas logging evaluation method Download PDF

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CN106437691A
CN106437691A CN201610637934.5A CN201610637934A CN106437691A CN 106437691 A CN106437691 A CN 106437691A CN 201610637934 A CN201610637934 A CN 201610637934A CN 106437691 A CN106437691 A CN 106437691A
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oil
ratio
gas
sequence
contrast sequence
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CN106437691B (en
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陈志伟
刘应忠
陈光权
骆福贵
李忠亮
吴彩雄
王春辉
杜鹏
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China National Petroleum Corp
CNPC Great Wall Drilling Co
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Logging Co of CNPC Great Wall Drilling Co
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    • E21B—EARTH OR ROCK DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
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Abstract

The invention relates to the technical field of oil development oil reservoir engineering, in particular to a low gas-oil-ratio oil reservoir gas logging evaluation method. By adoption of the low gas-oil-ratio oil reservoir gas logging evaluation method, the problems that the interpretation coincidence rate is low, understanding of oil and gas reservoirs is not clear, and oil-water relation analysis is unknown during exploration and development are solved, and the exploration effect is improved. The low gas-oil-ratio oil reservoir gas logging evaluation method comprises the following steps that firstly, oil well data are obtained; secondly, parameter quality is controlled, specifically, a gas logging quality control curve template is established, gas logging data are input into the quality control curve template, and the gas logging data with the quality control ratio being within the range of 0.8-2.0 are selected to serve as analysis data meeting quality requirements; thirdly, parameters are selected, specifically, a relation between the gas logging data and an oil-water-gas layer is discovered through a grey correlation degree analysis method; and fourthly, the parameter research and oil reservoir gas logging evaluation method is established. A two-dimensional linear crossplot-gas logging interpretation chart is established, and different interpretation conclusion ranges are marked out.

Description

A kind of low gas-oil ratio oil reservoir gas surveys evaluation methodology
Technical field
The present invention relates to the technical field of oil development reservoir engineering, more particularly, to a kind of low gas-oil ratio oil reservoir gas test and appraisal valency Method.
Background technology
Changqing oilfields Ordos Basin is typical hypotonic, low pressure, low-abundance " three is low " oil gas field, because early stage lacks Mud logging techniques are supported, lead to unclear, the oil water relation analysis of oil-gas reservoir understanding not clear, have impact on exploration effects.Particularly Jurassic system YAN ' AN FORMATION stratum is low gas-oil ratio reservoir, brings a huge difficult problem to interpretation and evaluation.
At present, conventional technological means have two kinds：One is by analyzing log parameter, because three low country well loggings are bent Line and the response of oil-water-layer relation are bad, lead to interpretation coincidence rate low.Two be by well logging change, the technology such as lighter hydrocarbons implements oil-containing Property, determine oil water relation.But in view of the particularity of oil reservoir and disguise, although this means of interpretation is directly perceived, overall coincidence rate Low it is difficult to meet explain require, virtually increased exploration cost.
Content of the invention
The present invention is aiming at the defect of prior art presence, proposes a kind of low gas-oil ratio oil reservoir gas and surveys evaluation methodology, should Evaluation methodology solves the difficult problem that interpretation coincidence rate in exploration and development is low, oil-gas reservoir understanding is unclear, oil water relation analysis is not clear, carries High exploration effects.
For achieving the above object, the present invention adopts the following technical scheme that, comprises the steps：
Step 1 obtains well data：The gas collecting scene formation testing layer surveys data and formation testing data.
Step 2 parameter quality controls：Set up gas mass metering controlling curve template, gas is surveyed data and imports quality control curves Template, quality control curves template can calculate quality control ratio range automatically according to gas detection logging FLAIR formula, chooses matter Gas between 0.8～2.0 for the amount control ratio surveys data as the analytical data conforming to quality requirements.FLAIR formula is as follows：
RQ=Tg/Tg ' (1)
Wherein
Tg=C1+C2+C3+C4+C5 (2)
Tg '=C1+2C2+3C3+4C4+5C5 (3)
RQFor quality control ratio, C1 is methane, and C2 is ethane, and C3 is propane, and C4 is butane, and C5 is pentane.
Step 3 parameter selects
Using grey-conjunction analysis method, find the relation that gas surveys data and oil-gas-water layer；There is provided conjunction for setting up means of interpretation Reason parameter.
1) reference sequences and contrast sequence are determined；Reference sequences Y and contrast sequence XiIt is respectively
Y=Y (j) | and j=1,2 ..., n } (4)
Xi=Xi (j) | and j=1,2 ..., n }, i=1,2 ..., m (5)
Wherein, Y (j) represents the value corresponding to j-th parameter of reference sequences, XiRepresent i-th contrast sequence, Xi (j) table Show that i contrasts the value corresponding to j-th parameter of sequence.
Reference sequences Y chooses the day oil-producing in formation testing data, takes contrast sequence XiIt is the quality control ratio screening through step 2 Gas afterwards surveys data.Reference sequences and contrast sequence value are shown in Table 1：
Table 1. sequence selection statistical table
Sequence Parameter selects Sequence Parameter selects Sequence Parameter selects
Reference sequences Y Day oil-producing Contrast sequence X 6 Weight compares LH Contrast sequence X 12 C3/C2
Contrast sequence X 1 Total hydrocarbon Tg Contrast sequence X 7 Lm is compared in light Contrast sequence X 13 C4/C2
Contrast sequence X 2 Peak base ratio Contrast sequence X 8 Hm is compared in weight Contrast sequence X 14 C4/C3
Contrast sequence X 3 Humidity ratio Wh Contrast sequence X 9 C2/C1 With than sequence X 15 iC4/nC4
Contrast sequence X 4 Equilibrium ratio Bh Contrast sequence X 10 C3/C1
Contrast sequence X 5 Aspect ratio Ch Contrast sequence X 11 C4/C1
In table 1, each parameter is respectively：
Day oil-producing：Averagely daily oil production.
Total hydrocarbon Tg：The sum of C1 to iC5 measured by gas detection logging, Tg=C1+C2+C3+nC4+iC4+nC5+iC5.
Peak base ratio：Gas detection logging records the ratio between the maximum on a certain section of stratum and minima.
Humidity ratio Wh：
Wh=(C2+C3+nC4+iC4+nC5+iC5)/(C1+C2+C3+nC4+iC4+nC5+iC5).
Equilibrium ratio Bh：Bh=(C1+C2)/(C3+nC4+iC4+nC5+iC5).
Aspect ratio Ch：Ch=(C4+C5)/C3.
Weight compares Lh：Lh=100* (C1+C2)/(C4+C5)3.
Lm is compared in light：Lm=10*C1/ (C2+C3)2.
Hm is compared in weight：Hm=(C4+C5)2/C3.
Each parameter in table 1, nC4 with iC4 is two kinds of different configurations of C4, and nC4 represents positive structure butane, and iC4 represents different Structure butane；NC5 with iC5 is two kinds of different configurations of C5, and nC5 represents positive structure pentane, and iC5 represents isomery pentane.
2) contrast sequence carries out nondimensionalization process, and formula is as follows：
Wherein, Xi represents i-th contrast sequence, and Xi (j) represents that i contrasts the value corresponding to j-th parameter of sequence, xi (j) Represent that i contrasts the meansigma methodss of sequence.
3) calculate resolution ratio ρ
Make η=Δ ν/Δmax, then the value of resolution ratio ρ be：Work as ΔmaxDuring ＞ 3 ν, η≤ρ≤1.5 η.Work as Δmax≤3Δ During ν, 1.5 η ＜ ρ≤2 η.
4) seek grey incidence coefficient ξ i (j) of reference sequences and contrast sequence：
Wherein, ξiJ () represents i-th coefficient of association contrasting corresponding to serial j-th parameter, xiJ () represents i contrast sequence Value after nondimensionalization corresponding to j-th parameter of row, after y (j) represents nondimensionalization corresponding to j-th parameter of reference sequences Value, p is resolution ratio.
5) seek degree of association ri：
Wherein, riRepresent the degree of association between i-th contrast series and reference sequences, ξiJ () represents i-th contrast series Coefficient of association corresponding to j-th parameter.Concrete value and being calculated as follows, reference sequences are shown in Table 2 with contrast sequence value；Table 2 For reference sequences and contrast sequence value table
Sequence Affecting parameters Depth 1 Depth 2 ... Depth 70
Reference sequences Y Day oil-producing 21.1700 10.7100 ... 4.3400
Contrast sequence X 1 Total hydrocarbon Tg 4.3339 0.0784 ... 0.2738
Contrast sequence X 2 Peak base ratio 6.6369 2.6133 ... 3.9739
Contrast sequence X 3 Humidity ratio Wh 0.5621 0.3832 ... 0.5705
Contrast sequence X 4 Equilibrium ratio Bh 1.2575 10.2000 ... 1.0297
Contrast sequence X 5 Aspect ratio Ch 1.1561 2.6842 ... 2.9101
Contrast sequence X 6 Weight compares Lh 221.3109 53825451.75 ... 13724.6446
Contrast sequence X 7 Lm is compared in light 9.5906 1921.9589 ... 377.6930
Contrast sequence X 8 Hm is compared in weight 1.1901 0.0137 ... 0.2922
Contrast sequence X 9 C2/C1 0.2721 0.2705 ... 0.1811
Contrast sequence X 10 C3/C1 0.4692 0.0338 ... 0.2934
Contrast sequence X 11 C4/C1 0.3750 0.0801 ... 0.4847
Contrast sequence X 12 C3/C2 1.7246 1.1250 ... 1.6197
Contrast sequence X 13 C4/C2 1.3783 0.2961 ... 2.6761
Contrast sequence X 14 C4/C3 0.7992 2.3684 ... 1.6522
Contrast sequence X 15 iC4/nC4 0.6063 1.2500 ... 0.2527
In table 2, X1 ..., X15, the value 15, i=1 ... of m in representation formula (5), 15；Depth 1 ..., depth 70, table Show the n value 70, j=1 ... in formula (5), 70.
First, each contrast sequence in table 2 is updated in formula (6), contrast sequence carries out nondimensionalization process；Again will Contrast sequence after nondimensionalization process and reference sequences substitute into formula (7) and (8), respectively using the value Δ v trying to achieve and Δmax, Make η=Δ v/ Δmax, then the value of resolution ratio ρ be：Work as ΔmaxDuring ＞ 3 Δ v, η≤ρ≤1.5 η.Work as ΔmaxDuring≤3 Δ v, 1.5 η ＜ ρ≤2 η；Calculate resolution ratio ρ.Contrast sequence after reference sequences, process and resolution ratio ρ are substituted into formula (9), Ask for grey incidence coefficient ξ i (j) of reference sequences and contrast sequence；Finally, grey incidence coefficient ξ i (j) generation again that will obtain Enter to formula (10), try to achieve the degree of association of reference sequences and each contrast sequence.The contrast sequence tried to achieve and each reference sequences The degree of association is shown in Table 3：
Table 3. degree of association statistical table
Contrast sequence The degree of association Contrast sequence The degree of association Contrast sequence The degree of association
C3/C2 0.7765 C4/C2 0.6410 C3/C1 0.6106
Humidity ratio Wh 0.7168 Aspect ratio Ch 0.6270 C2/C1 0.6097
Total hydrocarbon Tg 0.6674 C4/C3 0.6253 Peak base ratio 0.6012
Hm is compared in weight 0.6587 Equilibrium ratio Bh 0.6136 Lm is compared in light 0.5086
C4/C1 0.6579 iC4/nC4 0.6106 Weight compares Lh 0.4336
To degree of association degree of the being associated analysis tried to achieve in table 3, the numerical value of the degree of association is bigger, represents contrast sequence and ginseng The degree of association examining sequence is higher.Can be drawn by the association degrees of data of table 3, C3/C2 and two parameters of humidity ratio Wh and day oil-producing Degree of association highest.
Step 4 parameter study and oil reservoir gas are surveyed evaluation methodology and are set up
1) by degree of association highest parameter C3/C2, humidity ratio Wh carries out Block Characteristic analysis, demarcation interval value.
Selecting and counting to 200 mouthfuls low gas-oil ratio well formation testing gas testing data, finds out low gas-oil ratio oil-water-layer Gas logging data C3/C2, the interval range of two parameters of humidity ratio Wh, are shown in Table 4.
Table 4. oil-water-layer reservoir Gas logging data parameter interval Data-Statistics table
Fluid type of reservoir through C3/C2 Wh
Oil reservoir ≥1.2 ≥0.42
Oil-water common-layer ≥1.0 ≥0.35
Water layer ＜ 1.0 ＜ 0.35
Be can get by table 4, gas surveys the relation of data C3/C2 and humidity ratio Wh and steam oil ratio (SOR) reservoir：
When C3/C2 >=1.0, during Wh >=0.35, it is oil reservoir, oil-water common-layer reservoir；
As C3/C2 ＜ 1.0, during Wh ＜ 0.35, it is the water layer including oil-containing water layer；
2) by the use of characteristic parameter Wh as the longitudinal axis, C3/C2, as transverse axis, sets up two-dimensional linear cross plot, gas is surveyed data Cultellation is on cross plot, and it is interval to mark off different explanation conclusions：Oil reservoir is separated substantially with water layer with oil-water common-layer interval.
Compared with prior art beneficial effect of the present invention.
1st, solve explanation in exploration and development well by the survey evaluation methodology of Wh-C3/C2 low gas-oil ratio oil reservoir gas to meet Rate is low, the difficult problem that oil-gas reservoir understanding is unclear, oil water relation analysis is not clear, improves exploration effects, embodies the section of means of interpretation The property learned.
2nd, set up and explain template, it is to avoid the drawbacks of low gas-oil ratio block explains leakiness reservoir；Improve RESERVOIR INTERPRETATION evaluation Particularity or specific aim.
3rd, pass through parameter preferably, eliminate impact and the interference of unfavorable parameter, its achievement or conclusion progressively tend to scientific, Rationalize.
4th, reduce exploration cost, embody low gas-oil ratio area economy, improve RESERVOIR INTERPRETATION evaluation when Effect property and science.
Brief description
The present invention will be further described with reference to the accompanying drawings and detailed description.The scope of the present invention not only limits to Statement in herein below.
Fig. 1 is quality control curves Prototype drawing of the present invention.
Fig. 2 is that gas of the present invention surveys Wh-C3/C2 explanation figure.
Fig. 3 is that in the embodiment of the present invention, gas surveys Wh-C3/C2 explanation figure.
Specific embodiment
Technical scheme comprises the following steps.
Step 1 obtains well data：Collect live gas and survey data and formation testing data.
Step 2 parameter quality controls：Set up gas mass metering controlling curve template, as shown in Figure 1.In Fig. 1,
C1 is methane, and C2 is ethane, and C3 is propane, and iC4 is isomery butane, and nC4 is positive structure butane.
Total hydrocarbon：Total hydrocarbon=C1+C2+C3+nC4+iC4+nC5+iC5.
Heavy hydrocarbon：Heavy hydrocarbon=C2+C3+nC4+iC4+nC5+iC5.
Humidity ratio：Wh=(C2+C3+nC4+iC4+nC5+iC5)/(C1+C2+C3+nC4+iC4+nC5+iC5).
Equilibrium ratio：Bh=(C1+C2)/(C3+nC4+iC4+nC5+iC5).
Quality control curves value：RQ=(C1+C2+C3+C4+C5)/(C1+2C2+3C3+4C4+5C5).
Gas is surveyed data and imports quality control curves template, quality control curves template can be public according to gas detection logging FLAIR Formula calculates quality control ratio range automatically, is applied according to gas detection logging for many years, by quality control ratio and formation testing conclusion phase Association, finds that gas between 0.8～2.0 for the quality control ratio range is surveyed data and can truly be reflected formation fluid property；Choosing Take quality control ratio, that is, gas between 0.8～2.0 for the quality control curves value surveys data as the analysis conforming to quality requirements Data.FLAIR formula is as follows：
RQ=Tg/Tg'(1)
Wherein
Tg=C1+C2+C3+C4+C5 (2)
Tg '=C1+2C2+3C3+4C4+5C5 (3)
RQFor quality control ratio, C1 is methane, and C2 is ethane, and C3 is propane, and C4 is butane, and C5 is pentane.
Step 3 parameter selects.
Using grey-conjunction analysis method, find the relation that gas surveys data and oil-gas-water layer；There is provided conjunction for setting up means of interpretation Reason parameter.
1) reference sequences and contrast sequence are determined；Reference sequences Y and contrast sequence XiIt is respectively
Y=Y (j) | and j=1,2 ..., n } (4)
Xi=Xi (j) | and j=1,2 ..., n }, i=1,2 ..., m (5)
Wherein, Y (j) represents the value corresponding to j-th parameter of reference sequences, XiRepresent i-th contrast sequence, Xi (j) table Show that i contrasts the value corresponding to j-th parameter of sequence.
Take reference sequences Y to be day oil-producing, take contrast sequence XiIt is that quality control through step 2 surveys number than the gas after screening According to.
Reference sequences and contrast sequence value are shown in Table 1：
Table 1. sequence selection statistical table
Sequence Parameter selects Sequence Parameter selects Sequence Parameter selects
Reference sequences Y Day oil-producing Front than sequence X 6 Weight compares Lh Front than sequence X 12 C3/C2
Contrast sequence X 1 Total hydrocarbon Tg Contrast sequence X 7 Lm is compared in light Contrast sequence X 13 C4/C2
Contrast sequence X 2 Peak base ratio Contrast sequence X 8 Hm is compared in weight Contrast sequence X 14 C4/C3
Contrast sequence X 3 Humidity ratio Wh Contrast sequence X 9 C2/C1 Contrast sequence X 15 iC4/nC4
Contrast sequence X 4 Equilibrium ratio Bh Contrast sequence X 10 C3/C1
Contrast sequence X 5 Aspect ratio Ch Contrast sequence X 11 C4/C1
In table 1, each parameter is respectively：
Day oil-producing：Averagely daily oil production.
Total hydrocarbon Tg：The sum of C1 to iC5 measured by gas detection logging, Tg=C1+C2+C3+nC4+iC4+nC5+iC5.
Peak base ratio：Gas detection logging records the ratio between the maximum on a certain section of stratum and minima.
Humidity ratio：Wh=(C2+C3+nC4+iC4+nC5+iC5)/(C1+C2+C3+nC4+iC4+nC5+iC5).
Equilibrium ratio：Bh=(C1+C2)/(C3+nC4+iC4+nC5+iC5).
Aspect ratio：Ch=(C4+C5)/C3.
Weight ratio：Lh=100* (C1+C2)/(C4+C5)3.
Gently middle ratio：Lm=10*C1/ (C2+C3)2.
Compare in weight：Hm=(C4+C5)2/C3.
Each parameter in table 1, nC4 with iC4 is two kinds of different configurations of C4, and nC4 represents positive structure butane, and iC4 represents different Structure butane；NC5 with iC5 is two kinds of different configurations of C5, and nC5 represents positive structure pentane, and iC5 represents isomery pentane.
2) contrast sequence carries out nondimensionalization process, and formula is as follows：
Wherein, Xi represents i-th contrast sequence, and Xi (j) represents that i contrasts the value corresponding to j-th parameter of sequence, xi (j) Represent that i contrasts the meansigma methodss of sequence.
3) calculate resolution ratio ρ
Note η=Δ ν/Δmax, then the value of resolution ratio ρ be：Work as ΔmaxDuring ＞ 3 ν, η≤ρ≤1.5 η；When Δ max≤3 During Δ ν, 1.5 η ＜ ρ≤2 η.
4) seek grey incidence coefficient ξ i (j) of reference sequences and contrast sequence：
Wherein, ξiJ () represents i-th coefficient of association contrasting corresponding to serial j-th parameter, xi (j) represents i contrast sequence Value after nondimensionalization corresponding to j-th parameter of row, after y (j) represents nondimensionalization corresponding to j-th parameter of reference sequences Value, ρ is resolution ratio.
5) seek degree of association ri：
Wherein, riRepresent the degree of association between i-th contrast series and reference sequences, ξiJ () represents i-th contrast series Coefficient of association corresponding to j-th parameter.Concrete value and being calculated as follows, reference sequences are shown in Table 2 with contrast sequence value：Table 2. Reference sequences and contrast sequence value table
Sequence Affecting parameters Depth 1 Depth 2 ... Depth 70
Reference sequences Y Day oil-producing 21.1700 10.7100 ... 4.3400
Contrast sequence X 1 Total hydrocarbon Tg 4.3339 0.0784 ... 0.2738
Contrast sequence X 2 Peak base ratio 6.6369 2.6133 ... 3.9739
Contrast sequence X 3 Humidity ratio Wh 0.5621 0.3832 ... 0.5705
Contrast sequence X 4 Equilibrium ratio Bh 1.2575 10.2000 ... 1.0297
Contrast sequence X 5 Aspect ratio Ch 1.1561 2.6842 ... 2.9101
Contrast sequence X 6 Weight compares Lh 221.3109 53825451.75 ... 13724.6446
Contrast sequence X 7 Lm is compared in light 9.5906 1921.9589 ... 377.6930
Contrast sequence X 8 Hm is compared in weight 1.1901 0.0137 ... 0.2922
Contrast sequence X 9 C2/C1 0.2721 0.2705 ... 0.1811
Contrast sequence X 10 C3/C1 0.4692 0.0338 ... 0.2934
Contrast sequence X 11 C4/C1 0.3750 0.0801 ... 0.4847
Contrast sequence X 12 C3/C2 1.7246 1.1250 ... 1.6197
Contrast sequence X 13 C4/C2 1.3783 0.2961 ... 2.6761
Contrast sequence X 14 C4/C3 0.7992 2.3684 ... 1.6522
Contrast sequence X 15 iC4/nC4 0.6063 1.2500 ... 0.2527
In table 2, X1 ..., X15, the value 15, i=1 ... of m in representation formula (5), 15；Depth 1 ..., depth 70, table Show the n value 70, j=1 ... in formula (5), 70.
First, each contrast sequence in table 2 is updated to formula (6) respectively and carries out nondimensionalization process；Again by dimensionless Contrast sequence after change process and reference sequences substitute into formula (7) and (8), respectively to determine the value of resolution coefficient p；By reference Contrast sequence after sequence, process and resolution coefficient p substitute into formula (9), ask for the grey correlation of reference sequences and contrast sequence Coefficient ξ i (j)；Finally grey incidence coefficient ξ i (j) obtaining is updated to formula (10) again, tries to achieve reference sequences and each contrast The degree of association of sequence.The contrast sequence tried to achieve is shown in Table 3 with the degree of association of each reference sequences：
Table 3. degree of association statistical table
Contrast sequence The degree of association Contrast sequence The degree of association Contrast sequence The degree of association
C3/C2 0.7765 C4/C2 0.6410 C3/C1 0.6106
Humidity ratio Wh 0.7168 Aspect ratio Ch 0.6270 C2/C1 0.6097
Total hydrocarbon Tg 0.6674 C4/C3 0.6253 Peak base ratio 0.6012
Hm is compared in weight 0.6587 Equilibrium ratio Bh 0.6136 Lm is compared in light 0.5086
C4/C1 0.6579 iC4/nC4 0.6106 Weight compares Lh 0.4336
To degree of association degree of the being associated analysis tried to achieve in table 3, the numerical value of the degree of association is bigger, represents contrast sequence and ginseng The degree of association examining sequence is higher.Can be drawn by the association degrees of data of table 3, C3/C2 and two parameters of humidity ratio Wh and day oil-producing Degree of association highest.
Step 4 parameter study and oil reservoir gas are surveyed evaluation methodology and are set up.
1) by degree of association highest parameter C3/C2, humidity ratio Wh carries out Block Characteristic analysis, demarcation interval value.
Selecting and counting to 200 mouthfuls low gas-oil ratio well formation testing gas testing data, finds out low gas-oil ratio oil-water-layer Gas logging data C3/C2, the interval range of two parameters of humidity ratio Wh, are shown in Table 4.
Table 4. oil-water-layer reservoir Gas logging data parameter interval Data-Statistics table
Fluid type of reservoir through C3/C2 Wh
Oil reservoir ≥1.2 ≥0.42
Oil-water common-layer ≥1.0 ≥0.35
Water layer ＜ 1.0 ＜ 0.35
Be can get by table 4, gas surveys the relation of data C3/C2 and humidity ratio Wh and steam oil ratio (SOR) reservoir：
When C3/C2 >=1.0, during Wh >=0.35, it is oil reservoir, oil-water common-layer reservoir.
As C3/C2 ＜ 1.0, during Wh ＜ 0.35, it is the water layer including oil-containing water layer.
2) by the use of characteristic parameter Wh as the longitudinal axis, C3/C2, as transverse axis, sets up two-dimensional linear cross plot, tries all The gas of oil reservoir surveys data cultellation on cross plot, and it is interval to mark off different explanation conclusions：Oil reservoir, oil-water common-layer area and water layer Separate substantially.
As shown in Figure 2 it can be seen that, demarcation interval is come with 1.0, vertical coordinate with 0.35 with abscissa.
When gas survey data point be located at abscissa value >=1.0 and ordinate value >=0.35 interval when, be oil reservoir, oil-water common-layer Area.
When gas survey data point be located at abscissa value ＜ 1.0, ordinate value ＜ 0.35 interval when, be the water of oil-containing water layer Layer.
In order that the method application is more extensive, it is easy to scene application, carries out oil-water-layer interpretation and evaluation using the method When, cultellation is carried out with the ratio interval of Wh and C3/C2, the group division aspect in conjunction with gas logging curve carries out comprehensive interpretation and evaluation.
Taking certain well section as a example, illustrate that low gas-oil ratio oil reservoir gas surveys evaluation methodology.
1. determine analysis ordered series of numbers
With this area's day oil-producing as reference sequences Y0, parameters as contrast sequence X i, i=1,2 ..., n.
YAN ' AN FORMATION day, oil-producing sequence was as follows with other contrast sequence selection statistical tables：
Sequence Affecting parameters Depth 1 Depth 2 ... Depth 70
Reference sequences Y0 Day oil-producing 21.1700 10.7100 ... 4.3400
Contrast sequence X 1 Total hydrocarbon Tg 4.3339 0.0784 ... 0.2738
Contrast sequence X 2 Peak base ratio 6.6369 2.6133 ... 3.9739
Contrast sequence X 3 Humidity ratio Wh 0.5621 0.3832 ... 0.5705
Contrast sequence X 4 Equilibrium ratio Bh 1.2575 10.2000 ... 1.0297
Contrast sequence X 5 Aspect ratio Ch 1.1561 2.6842 ... 2.9101
Contrast sequence X 6 Weight compares Lh 221.3109 53825451.75 ... 13724.6446
Contrast sequence X 7 Lm is compared in light 9.5906 1921.9589 ... 377.6930
Contrast sequence X 8 Hm is compared in weight 1.1901 0.0137 ... 0.2922
Contrast sequence X 9 C2/C1 0.2721 0.2705 ... 0.1811
Contrast sequence X 10 C3/C1 0.4692 0.0338 ... 0.2934
Contrast sequence X 11 C4/C1 0.3750 0.0801 ... 0.4847
Contrast sequence X 12 C3/C2 1.7246 1.1250 ... 1.6197
Contrast sequence X 13 C4/C2 1.3783 0.2961 ... 2.6761
Contrast sequence X 14 C4/C3 0.7992 2.3684 ... 1.6522
Contrast sequence X 15 iC4/nC4 0.6063 1.2500 ... 0.2527
2. the nondimensionalization of variable
3. calculate correlation coefficient
4. calculating correlation
The contrast sequence of YAN ' AN FORMATION is as follows with degree of association statistical table：
Contrast sequence The degree of association Contrast sequence The degree of association Contrast sequence The degree of association
C3/C2 0.7765 C4/C2 0.6410 C3/C1 0.6106
Humidity ratio Wh 0.7168 Aspect ratio Ch 0.6270 C2/C1 0.6097
Total hydrocarbon Tg 0.6674 C4/C3 0.6253 Peak base ratio 0.6012
Hm is compared in weight 0.6587 Equilibrium ratio Bh 0.6136 Lm is compared in light 0.5086
C4/C1 0.6579 iC4/nC4 0.6106 Weight compares Lh 0.4336
By relational degree taxis, humidity ratio, C3/C2 and day oil-producing degree of association maximum.
Total hydrocarbon base value：0.17%, total hydrocarbon average：0.78%, total hydrocarbon peak value：1.09%；Wh meansigma methodss are 0.45, C3/C2 =2.12, gas surveys component C3 ＞ C2, belongs to typically low gas-oil ratio stratum, and gas survey component is complete, slowly declines successively.Total hydrocarbon by Gradually reduce, profit divides different medium.
Comparison criteria for interpretation：
Oil reservoir, oil-water common-layer reservoir：C3/C2≥1.0；Wh≥0.35.
Water layer (includes oil-containing water layer)：C3/C2 ＜ 1.0；Wh ＜ 0.35.
This well section：Wh=0.45 ＞ 0.35, C3/C2=2.12 ＞ 1.
As shown in figure 3, by the use of characteristic parameter Wh as the longitudinal axis, C3/C2, as transverse axis, sets up two-dimensional linear cross plot, solution Release plate cultellation interval in oil reservoir, oil-water common-layer.Demarcation interval is come with 1.0, vertical coordinate with 0.35 with abscissa, when gas surveys data Point be located at abscissa value >=1.0 and ordinate value >=0.35 interval when, be oil reservoir, oil-water common-layer area.When gas surveys data point position In abscissa value ＜ 1.0, ordinate value ＜ 0.35 interval when, be the water layer of oil-containing water layer.This well section, Wh=0.45 ＞ 0.35, C3/C2=2.12 ＞ 1；This layer explains that conclusion is oil-water common-layer, formation testing day 11.48 tons of oil-producing, produce 15.30 tons of water daily.

Claims (1)

1. a kind of low gas-oil ratio oil reservoir gas surveys evaluation methodology, comprises the steps：
Step 1 obtains well data：Collect scene formation testing layer gas survey data and formation testing data；
Step 2 parameter quality controls：Set up gas mass metering controlling curve template, gas is surveyed data importing quality control curves and touches Plate, quality control curves template can calculate quality control ratio range automatically according to gas detection logging FLAIR formula, chooses quality Gas between 0.8～2.0 for the control ratio surveys data as the analytical data conforming to quality requirements；FLAIR formula is as follows：
RQ=Tg/Tg'(1)
Wherein
Tg=C1+C2+C3+C4+C5 (2)
Tg'=C1+2C2+3C3+4C4+5C5 (3)
RQFor quality control ratio, C1 is methane, and C2 is ethane, and C3 is propane, and C4 is butane, and C5 is pentane；
Step 3 parameter selects
Using grey-conjunction analysis method, find the relation that gas surveys data and oil-gas-water layer；Rationally join for setting up means of interpretation and providing Number；
1) reference sequences and contrast sequence are determined；Reference sequences Y and contrast sequence XiIt is respectively
Y=Y (j) | j=1,2 ..., n } (4)
Xi=Xi (j) | j=1,2 ..., n }, i=1,2 ..., m (5)
Wherein, Y (j) represents the value corresponding to j-th parameter of reference sequences, XiRepresent i-th contrast sequence, Xi (j) represents i pair Than the value corresponding to j-th parameter of sequence；
Reference sequences Y chooses the day oil-producing in formation testing data, takes contrast sequence XiBe quality control through step 2 than screening after Gas surveys data；
Reference sequences and contrast sequence value are shown in Table 1：
Table 1. sequence selection statistical table
In table 1, each parameter is respectively：
Day oil-producing：Averagely daily oil production；
Total hydrocarbon Tg：Tg=C1+C2+C3+nC4+iC4+nC5+iC5；
Peak base ratio：Gas detection logging records the ratio between the maximum on a certain section of stratum and minima；
Humidity ratio Wh：
Wh=(C2+C3+nC4+iC4+nC5+iC5)/(C1+C2+C3+nC4+iC4+nC5+iC5)；
Equilibrium ratio Bh：Bh=(C1+C2)/(C3+nC4+iC4+nC5+iC5)；
Aspect ratio Ch：Ch=(C4+C5)/C3；
Weight compares Lh：Lh=100* (C1+C2)/(C4+C5)3；
Lm is compared in light：Lm=10*C1/ (C2+C3)2；
Hm is compared in weight：Hm=(C4+C5)2/C3；
Each parameter in table 1, (nC4 with iC4 is two kinds of different configurations of C4), nC4 represents positive structure butane, and iC4 represents isomery Butane；NC5 with iC5 is two kinds of different configurations of C5, and nC5 represents positive structure pentane, and iC5 represents isomery pentane；
2) contrast sequence carries out nondimensionalization process, and formula is as follows：
Wherein, XiRepresent i-th contrast sequence, XiJ () represents that i contrasts the value corresponding to j-th parameter of sequence, XiJ () represents i The meansigma methodss of contrast sequence；
3) calculate resolution ratio ρ
Make η=Δ v/ Δmax, then the value of resolution ratio ρ be：
Work as ΔmaxDuring ＞ 3 Δ v, η≤ρ≤1.5 η；Work as ΔmaxDuring≤3 Δ v, 1.5 η ＜ ρ≤2 η；
4) seek grey incidence coefficient ξ i (j) of reference sequences and contrast sequence：
Wherein, ξiJ () represents i-th coefficient of association contrasting corresponding to serial j-th parameter, xiJ () represents i contrast sequence jth Value after nondimensionalization corresponding to individual parameter, y (j) represents the value after nondimensionalization corresponding to j-th parameter of reference sequences, and ρ is Resolution ratio；
5) seek degree of association ri：
Wherein, riRepresent the degree of association between i-th contrast series and reference sequences, ξiJ () represents serial j-th of i-th contrast Coefficient of association corresponding to parameter；
Concrete value and being calculated as follows, reference sequences are shown in Table 2 with contrast sequence value：
Table 2. reference sequences and contrast sequence value table
Sequence Affecting parameters Depth 1 Depth 2 ... Depth 70 Reference sequences Y Day oil-producing 21.1700 10.7100 ... 4.3400 Contrast sequence X 1 Total hydrocarbon Tg 4.3339 0.0784 ... 0.2738 Contrast sequence X 2 Peak base ratio 6.6369 2.6133 ... 3.9739 Contrast sequence X 3 Humidity ratio Wh 0.5621 0.3832 ... 0.5705 Contrast sequence X 4 Equilibrium ratio Bh 1.2575 10.2000 ... 1.0297 Contrast sequence X 5 Aspect ratio Ch 1.1561 2.6842 ... 2.9101 Contrast sequence X 6 Weight compares Lh 221.3109 53825451.75 ... 13724.6446 Contrast sequence X 7 Lm is compared in light 9.5906 1921.9589 ... 377.6930 Contrast sequence X 8 Hm is compared in weight 1.1901 0.0137 ... 0.2922 Contrast sequence X 9 C2/C1 0.2721 0.2705 ... 0.1811 Contrast sequence X 10 C3/C1 0.4692 0.0338 ... 0.2934 Contrast sequence X 11 C4/C1 0.3750 0.0801 ... 0.4847 Contrast sequence X 12 C3/C2 1.7246 1.1250 ... 1.6197 Contrast sequence X 13 C4/C2 1.3783 0.2961 ... 2.6761 Contrast sequence X 14 C4/C3 0.7992 2.3684 ... 1.6522 Contrast sequence X 15 iC4/nC4 0.6063 1.2500 ... 0.2527
In table 2, X1 ..., X15, the value 15, i=1 ... of m in representation formula (5), 15；Depth 1 ..., depth 70, represent public N value 70, j=1 ... in formula (5), 70；
First, each contrast sequence in table 2 is updated in formula (6), contrast sequence carries out nondimensionalization process；Again will be immeasurable Contrast sequence after guiding principleization process and reference sequences substitute into formula (7) and (8), respectively using the value Δ v trying to achieve and Δmax, make η =Δ v/ Δmax, then the value of resolution ratio ρ be：Work as ΔmaxDuring ＞ 3 Δ v, η≤ρ≤1.5 η.Work as ΔmaxDuring≤3 Δ v, 1.5 η ＜ ρ≤2 η；Resolution ratio ρ is calculated and determined.Contrast sequence after reference sequences, process and resolution ratio ρ are substituted into formula (9), ask for grey incidence coefficient ξ i (j) of reference sequences and contrast sequence；Finally, grey incidence coefficient ξ i (j) that will obtain It is updated to formula (10) again, try to achieve the degree of association of reference sequences and each contrast sequence.The contrast sequence tried to achieve is with each with reference to sequence The degree of association of row is shown in Table 3：
Table 3. degree of association statistical table
Contrast series The degree of association Contrast series The degree of association Contrast series The degree of association C3/C2 0.7765 C4/C2 0.6410 C3/C1 0.6106 Humidity ratio Wh 0.7168 Aspect ratio Ch 0.6270 C2/C1 0.6097 Total hydrocarbon Tg 0.6674 C4/C3 0.6253 Peak base ratio 0.6012 Hm is compared in weight 0.6587 Equilibrium ratio Bh 0.6136 Lm is compared in light 0.5086 C4/C1 0.6579 iC4/nC4 0.6106 Weight compares Lh 0.4336
To degree of association degree of the being associated analysis tried to achieve in table 3, the numerical value of the degree of association is bigger, represents contrast sequence and reference sequence The degree of association of row is higher.Can be drawn by the association degrees of data of table 3, the pass of C3/C2 and two parameters of humidity ratio (Wh) and day oil-producing Connection degree highest.
Step 4 parameter study and oil reservoir gas are surveyed evaluation methodology and are set up
1) by degree of association highest parameter C3/C2, humidity ratio Bh carries out Block Characteristic analysis, demarcation interval value；
Selecting and counting to 200 mouthfuls low gas-oil ratio well formation testing gas testing data, finds out low gas-oil ratio oil-water-layer Gas logging data C3/ C2, the interval range of two parameters of humidity ratio Wh, are shown in Table 4；
Table 4. oil-water-layer reservoir Gas logging data parameter interval Data-Statistics table
Fluid type of reservoir through C3/C2 Wh Oil reservoir ≥1.2 ≥0.42 Oil-water common-layer ≥1.0 ≥0.35 Water layer ＜ 1.0 ＜ 0.35
Be can get by table 4, gas survey data C3/C2 and humidity ratio Wh and steam oil ratio (SOR) reservoir relation：
When C3/C2 >=1.0, during Wh >=0.35, it is oil reservoir, oil-water common-layer reservoir；
As C3/C2 ＜ 1.0, during Wh ＜ 0.35, it is the water layer including oil-containing water layer；
2) by the use of characteristic parameter Wh as the longitudinal axis, C3/C2, as transverse axis, sets up two-dimensional linear cross plot, and gas is surveyed data cultellation On cross plot, and it is interval to mark off different explanation conclusions：Oil reservoir is separated substantially with water layer with oil-water common-layer interval.
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